Search Results (126)

Coronavirus disease 2019 (COVID-19) emerged in late 2019 and was declared a pandemic from March 2020 to May 2023, profoundly affecting public health systems, economies, and daily life worldwide. University students were among the most impacted groups, facing abrupt transitions to remote learning, social isolation, and increased psychological distress due to academic and personal uncertainties. During the pandemic, few studies have been conducted with this population and so far, none have evaluated factors associated with COVID-19 infection in university students, so this study aimed to evaluate variables associated with COVID-19 infection among university students in southern Brazil. Data were collected from July to November 2020 through an online questionnaire addressing lifestyle and health, with participation from 1533 students. Among the variables analyzed, statistically significant associations with COVID-19 infection were identified for age, occupation, use of continuous medication, compliance with social distancing, and self-medication practices. Younger students (18–29 years) and those dedicated solely to studying exhibited higher infection rates. Additionally, participants who reported using continuous medication, not adhering to social distancing measures, or engaging in self-medication were significantly more likely to have contracted COVID-19. These results help outline risk profiles within the university student population and contribute to improved preparedness for future disease outbreaks. Furthermore, they underscore attitudes and behaviors that may increase vulnerability to infectious diseases, highlighting the importance of targeted health promotion and prevention strategies in this demographic. Full article

Veterinary vaccines are essential tools for controlling infectious and zoonotic diseases, safeguarding animal welfare, and ensuring global food security. However, conventional vaccines are hindered by cold-chain dependence, thermal instability, and logistical challenges, particularly in low- and middle-income countries (LMICs). This review explores next-generation veterinary vaccines, emphasizing innovations in thermostability and delivery platforms to overcome these barriers. Recent advances in vaccine drying technologies, such as lyophilization and spray drying, have improved antigen stability and storage resilience, facilitating effective immunization in remote settings. Additionally, novel delivery systems, including nanoparticle-based formulations, microneedles, and mucosal routes (intranasal, aerosol, and oral), enhance vaccine efficacy, targeting immune responses at mucosal surfaces while minimizing invasiveness and cost. These approaches reduce reliance on cold-chain logistics, improve vaccine uptake, and enable large-scale deployment in field conditions. The integration of thermostable formulations with innovative delivery technologies offers scalable solutions to immunize livestock and aquatic species against major pathogens. Moreover, these strategies contribute significantly to One Health objectives by mitigating zoonotic spillovers, reducing antibiotic reliance, and supporting sustainable development through improved animal productivity. The emerging role of artificial intelligence (AI) in vaccine design—facilitating epitope prediction, formulation optimization, and rapid diagnostics—further accelerates vaccine innovation, particularly in resource-constrained environments. Collectively, the convergence of thermostability, advanced delivery systems, and AI-driven tools represents a transformative shift in veterinary vaccinology, with profound implications for public health, food systems, and global pandemic preparedness. Full article

The Encyclopaedia Cloacae is a novel and centralised digital platform designed to support and advance wastewater-based epidemiology (WBE) by cataloguing pathogens detectable in wastewater and their relevance to public health surveillance. The platform is hosted on the EU Wastewater Observatory for Public Health (EU4S) website, where it is populated with peer-reviewed research through a structured workflow under harmonised criteria which address the presence of pathogens in human excreta, detectability in wastewater, and integration into public health systems. This tri-criteria approach ensures that the database is both scientifically robust and operationally actionable. Complemented by the Visualising the Invisible dashboard, the platform offers geospatial insights into global WBE research activity. By consolidating peer-reviewed evidence on pathogen detectability in wastewater and human excreta, the Encyclopaedia Cloacae enables early detection of infectious diseases, whether already known or newly emerging. The continuously updated repository and geospatial dashboards help to identify surveillance gaps and research hotspots, to support timely public health responses, enhance pandemic preparedness, and strengthen global health security. In addition, it supports One Health strategies, connecting the health of humans, animals, and the shared environment. This article outlines the platform’s architecture, data curation methodology, and future directions, including automation and expansion to encompass broader health determinants such as antimicrobial resistance and chemical hazards. Full article

Objectives: Non-cystic fibrosis bronchiectasis (BE) is a chronic airway disease with increasing prevalence, reduced quality of life, and increased mortality. Inhaled corticosteroids (ICS) are used in BE despite limited evidence of effect on lung function parameters. ICS may increase the risk of Staphylococcus aureus (S. aureus) infections in patients with BE, but this is unexplored. We examined the association between ICS use prior to BE diagnosis at different doses and the risk of S. aureus isolation in patients with BE. Methods: We conducted a national register-based cohort study including Danish patients with a BE diagnosis code between 2001 and 2018 with a 1-year follow-up time from the date of diagnosis. ICS exposure was categorized based on accumulated prescriptions redeemed 365 days before BE diagnosis and divided into none, low, moderate, or high use based on clinically relevant doses. A cause-specific Cox proportional hazards regression model was used to estimate the risk of S. aureus isolation. A sensitivity analysis, an inverse probability of treatment weighted model (IPTW), was performed. Results: A total of 5093 patients were included in this study. S. aureus was isolated in 156 patients (3.1%). High-dose ICS was associated with an increased risk of S. aureus isolation, HR 3.81 (95% CI 2.51; 5.79). No association for low or moderate use was found, low-dose HR 1.22 (95% CI 0.77; 1.93), and moderate-dose HR 1.24 (95% CI 0.72; 2.16). IPTW analysis yielded similar results. Conclusions: High-dose ICS use in patients with BE was associated with an increased risk of S. aureus isolation. ICS should be used cautiously in patients with BE. Full article

The COVID-19 pandemic has disrupted the progress toward Sustainable Development Goal 3, particularly in developing countries, exacerbating existing health disparities and creating new challenges for health systems worldwide. This study explores the role of university research in advancing SDG 3 targets in a post-pandemic context using the University of the Western Cape as a case study. Through qualitative data analysis of research titles and abstracts registered between 2020 and 2022, we applied the WHERETO model of McTighe and Bloom’s Taxonomy to categorize research according to the SDG 3 targets and indicators. This approach provides insight into which health priorities were addressed through scholarly research at UWC in alignment with the UN 2030 Agenda, particularly during pandemic recovery. Our findings indicate that research priorities largely corresponded with South Africa’s health challenges, with the highest concentration of studies addressing non-communicable diseases and mental health (Target 3.4), infectious diseases (Target 3.3), and medicine development (Target 3.b). These priorities align with the National Health Research Committee’s identified health priorities for disadvantaged communities in the Western Cape. Notably, research on mental health and emergency preparedness (Target 3.d) increased significantly during the pandemic period, reflecting shifting priorities in response to COVID-19. This study offers critical insights into how university research shifted priorities adapted during the pandemic and identifies areas requiring focused attention to support post-pandemic recovery. By highlighting research gaps and opportunities, our findings provide a foundation for developing more comprehensive approaches to health research that address the disparities exacerbated by COVID-19 while advancing the 2030 agenda. This model could inform research prioritization at other institutions facing similar challenges in both local and global contexts. Full article

Background and Objectives: Infectious disease outbreaks are a major challenge for public health systems worldwide, especially for healthcare workers (HCWs). Taif city, in Saudi Arabia, has a high population density and is a tourist destination, which puts it at a high risk of infectious disease outbreaks. Despite its geographical importance, no previous study has been conducted that focuses on assessing the preparedness of healthcare workers in Taif city for managing infectious disease outbreaks. Therefore, we aimed to assess the overall level of preparedness among HCWs in healthcare facilities across Taif city and identify the challenges they face when managing infectious disease outbreaks. Materials and Methods: We conducted a cross-sectional study from October to December 2024 among 294 healthcare workers, using a structured questionnaire. We assessed the sociodemographic characteristics, infection prevention and control (IPC) training received by HCWs, the level of preparedness for managing infectious disease outbreaks, and their level of knowledge (low, moderate, or high). The association between sociodemographic characteristics and knowledge from having received IPC training and the level of preparedness was assessed using binary logistic regression. A p-value of ≤ 0.05 was considered as significant. Results: Around 31.7% of the participants were aged 31–40 years, with 59.2% of them being female. Among the HCWs we assessed, 44.6% were nurses and 31.3% of the HCWs were from hospitals with a bed capacity of over 500. Only 16.3% of HCWs felt fully prepared on a personal level and only 20.7% believed their facility was fully prepared for managing an outbreak. A low level of knowledge was reported among 71.8% of the participants. The odds of having received IPC training were significantly higher among HCWs aged 41–50 years (AOR = 15.7; 95% CI = 4.26–58.1), for those working in the inpatient department (AOR = 6.3; 95% CI = 1.46–27.05), and for those with a moderate level of knowledge (AOR = 0.12; 95% CI = 0.03–0.5). The odds of being fully prepared for an infectious disease outbreak were significantly higher for males (AOR = 2.58; 95% CI = 1.18–5.63) and those working in the in-patient department (AOR = 6.87; 95% CI = 1.7–27.8) and significantly lower for those with a low level of knowledge (AOR = 0.19; 95% CI = 0.06–0.61). Conclusion: Even though many HCWs have undergone IPC training, our findings highlight gaps in both knowledge and overall preparedness among healthcare workers in Taif city. Regular refresher courses, improved resource allocation, and implementing scenario-based emergency drills may help in improving the overall knowledge and preparedness of HCWs. Full article

The EORTC/MSGERC definition lacks sufficient sensitivity for diagnosing invasive pulmonary aspergillosis (IPA) in patients with autoimmune inflammatory rheumatic diseases (AIIRDs). We hypothesized that the partial fulfillment of the EORTC/MSGERC definition can improve its diagnostic sensitivity. This retrospective observational study included patients with AIIRDs on immunosuppressive therapy who underwent serum galactomannan antigen testing for suspected IPA. Patients who fulfilled the clinical features or mycological evidence as per the EORTC/MSGERC definition were considered as having “potential IPA.” We compared the clinical characteristics of 364 patients who were categorized into 3 groups—potential IPA (n = 29), proven/probable IPA (n = 24), and non-IPA (n = 311; not meeting any definition). The potential and proven/probable IPA groups had significantly lower survival rates than the non-IPA group (p < 0.001). The potential IPA (adjusted hazard ratio [aHR], 2.0; 95% confidence interval [CI], 1.1–3.8) and proven/probable IPA (aHR, 2.6; 95% CI, 1.4–4.9) were independent risk factors for mortality. Compared with the EORTC/MSGERC definition, our proposed criteria improved sensitivity based on the diagnosis at the end of observation (50.0%, 100.0%, respectively). The characteristics and mortality rates of patients were similar between the potential and proven/probable IPA groups. Using these criteria for clinical diagnosis may provide high sensitivity. Full article

Background/Objectives: Emerging infectious diseases pose significant global threats due to their rapid transmission, limited therapeutic options, and profound socioeconomic impact. Conventional diagnostic techniques that rely on sequencing and polymerase chain reactions (PCR) frequently lack the speed necessary to efficiently respond to rapidly evolving pathogens. This study describes the development of BioInnovate AI to overcome these limitations using machine learning to expedite PCR assay development. Methods: The ability of BioInnovate AI to predict optimal PCR reagents across multiple pathogens was assessed. Additionally, random forest classifier, light gradient boosting machine (LGBM), and gradient boosting classifier models were evaluated for their ability to predict effective PCR primer–probe combinations. Performance metrics, including the area under the curve (AUC), sensitivity, specificity, accuracy, and F1 score, were assessed to identify the optimal model for platform integration. Results: All machine learning models performed well, with the LGBM model achieving the highest metrics (AUC: 0.97, sensitivity: 0.93, specificity: 0.91). BioInnovate AI significantly reduced PCR assay development time by approximately 90%, enabling rapid design and reagent optimization for multiple pathogens. Conclusions: BioInnovate AI provides a rapid, accurate, and efficient method for PCR reagent design, significantly enhancing global diagnostic preparedness by optimizing primers and probes for the timely detection of infectious diseases. Full article

Background: Disruptions in the mesh of the ecosystem come with implications that severely harm the sustainability and the equilibrium of life. Interactions of humans, animals, and many other organisms, along with the whole ecological complex, have given birth to zoonotic diseases, which can vary in type and burden. Collaborative efforts put into the prioritization of environmental, animal, and human health are envisioned as “One Health”. Understanding vector ecology and the varying mechanistic ways of transmission is crucial for constructing effective One Health surveillance tools and warning systems. Methods: We identified the literature available concerning the subject matter. We utilized scholarly databases to gather research for the last 10 years using predefined keywords. Objectives: This review aims to synthesize current knowledge on the interconnection between climate discrepancies, ecological alarms, and the emergence and spread of zoonotic diseases. We attempted to provide recommendations for future research and policy interventions. Results: Human activities have significantly impacted disease-carrying vectors and wildlife habitats, aiding their proliferation and the spillover of diseases. Global frameworks incorporating One Health principles enhance global preparedness for future health threats. Applying the integrated One Health Surveillance has strengthened early warning systems. Interdisciplinary collaborations and tools like OH-EpiCap, a comprehensive tool that assesses and enhances the capacities of One Health surveillance systems, have significantly contributed to responding to infectious disease outbreaks, as seen in the Netherlands, reducing the risk of tick-borne diseases. Conclusions: Strides have been made with comprehensive processes that identify and prioritize zoonotic diseases of most significant concern and burden, such as OHZDP, approaches like One Health, and other theories considered. A proactive and integrated approach will build resilience against potential outbreaks and ensure a healthier future for our planet and its inhabitants. Full article

Background/Objectives: The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus type-2 (SARS-CoV-2), has resulted in 777 million cases worldwide. Various vaccines have been approved to control the spread of COVID-19, with mRNA vaccines (Pfizer and Moderna) being widely used in the USA. We conducted a prospective longitudinal study to analyze the immune response elicited by two/three and four doses of monovalent mRNA vaccines in both vaccinated individuals and those who experienced breakthrough infections. Participants were stratified into different age groups: 18–40, 41–60, and over 60 years. Methods: We assessed cross-variant neutralization responses in two cohorts—Cohort I: n = 167 (serum), Cohort II: n = 92 (serum and nasal swab) samples—using infectious virus microneutralization assay (MN) and antibody (IgG or IgA) binding ELISA titers to the spike protein receptor binding domain (RBD). Samples were collected from the Louisville Metro–Jefferson County Co-Immunity Project, a federally funded, population-based study for the surveillance of SARS-CoV-2 in Jefferson County, Kentucky during 2020–2022, involving both health care workers and a local community. Results: Individuals who received two doses of the mRNA vaccine exhibited reduced neutralization against Beta, Delta, and Omicron BA.1 variants compared to wildtype Wuhan, with further decline observed six months post-booster vaccination. However, individuals who experienced natural COVID-19 infection (breakthrough) after receiving two vaccine doses showed enhanced neutralization and antibody responses, particularly against Omicron BA.1. Following the 3rd dose, antibodies and neutralization responses were restored. Among triple-vaccinated individuals, reduced neutralization was observed against Omicron variants BA.1, BA.5, and BA.2 compared to Wuhan. Neutralization responses were better against BA.2 variant compared to BA.1 and BA.5. However, individuals who received three doses of vaccine and experienced a breakthrough infection (n = 45) elicited significantly higher neutralizing antibodies responses against all Omicron subvariants compared to vaccinated individuals. Interestingly, nasal swab samples collected from volunteers with breakthrough infection showed significantly elevated spike-reactive mucosal IgA antibodies and enhanced cross neutralization against BA.1, BA.2, and BA.5 compared to individuals who received only three vaccine doses. Conclusions: mRNA vaccination elicits a strong systemic immune response by boosting serum neutralizing antibodies (NAb), although this protection wanes over time, allowing new variants to escape neutralization. Breakthrough individuals have extra enrichment in nasal NAb offering protection against emerging variants. This longitudinal immune profiling underscores the strengthening of pandemic preparedness and supports the development of durable mucosal vaccines against respiratory infectious disease. Full article

A key goal of inclusive education is to enhance health literacy skills, empowering students with intellectual disabilities (IDs) to access critical information needed to navigate everyday challenges. The COVID-19 pandemic, for example, highlighted unique barriers to preparedness for people with IDs regarding social behavior and decision-making. This study aimed to examine students’ awareness and understanding of pandemic outbreaks. Using an inquiry-based approach supported by Digital Learning Objects (DLOs), the research assessed students’ knowledge and perceptions of viruses, modes of transmission, and preventive measures. An in-depth visual analysis within a single-subject research design demonstrated that interdisciplinary educational scenarios on infectious diseases can be effective for students with ID, especially when DLOs are integrated with targeted instructional techniques. Full article

Monitoring the immune response to vaccination encompasses both significant challenges and promising opportunities for scientific advancement. The primary challenge lies in the inherent complexity and interindividual variability of immune responses, influenced by factors including age, genetic background, and prior immunological history. This variability necessitates the development of sophisticated, highly sensitive assays capable of accurately quantifying immune parameters such as antibody titers, T-cell responses, and cytokine profiles. Furthermore, the temporal dynamics of the immune response require comprehensive longitudinal studies to elucidate the durability and quality of vaccine-induced immunity. Challenges of this magnitude pave the way for immunological research advancements and diagnostic methodologies. Cutting-edge monitoring techniques, such as high-throughput sequencing and advanced flow cytometry, enable deeper insights into the mechanistic underpinnings of vaccine efficacy and contribute to the iterative design of more effective vaccines. Additionally, the integration of analytical tools holds the potential to predict immune responses and tailor personalized vaccination strategies. This will be addressed in this review to provide insight for enhancing public health outcomes and fortifying preparedness against future infectious disease threats. Full article

Background: Mpox, a zoonotic viral disease, has recently emerged as a significant global public health challenge. Historically confined to endemic regions in West and Central Africa, recent outbreaks in non-endemic areas have highlighted the critical role of healthcare professionals (HCPs) in disease management and prevention. Methods: This cross-sectional study surveyed 709 Israeli HCPs, with a mean age of 40.6 ± 9.4 years, to evaluate their knowledge, perceptions, and attitudes toward mpox and identify gaps to inform educational and public health strategies. Results: Findings revealed that only 38.9% of respondents demonstrated good knowledge about mpox, while 61.1% exhibited poor knowledge. Misconceptions were prevalent: 37.9% identified paracetamol as a management option, with only 31.0% recognizing the need for antivirals. Notably, 67.1% correctly identified mpox as a viral disease, yet only 47.2% were aware that lymphadenopathy is a distinguishing symptom. Multivariable analysis identified several predictors of good knowledge, including marital status, being a medical doctor (versus an allied health professional), work seniority, and previous exposure to mpox-related information. Attitudes varied, with 57.7% expressing confidence in the ability of global health authorities to control mpox, and 59.0% expressing confidence in the Israeli Ministry of Health. Interest in learning more about mpox and related topics was high, with 67.4% showing interest in the epidemiology of emerging diseases. Respondents with good knowledge consistently exhibited more positive attitudes and confidence in managing mpox-related challenges. Conclusions: These findings underscore the urgent need for targeted educational interventions to enhance HCPs’ readiness and response capabilities. Strengthening professional training, incorporating emerging infectious diseases into curricula, and leveraging accurate media communication are critical steps toward improving preparedness for mpox and future outbreaks. Full article

The rapid emergence of infectious disease outbreaks has underscored the urgent need for effective communication tools to manage public health crises. Artificial Intelligence (AI)-based chatbots have become increasingly important in these situations, serving as critical resources to provide immediate and reliable information. This review examines the role of AI-based chatbots in public health emergencies, particularly during infectious disease outbreaks. By providing real-time responses to public inquiries, these chatbots help disseminate accurate information, correct misinformation, and reduce public anxiety. Furthermore, AI chatbots play a vital role in supporting healthcare systems by triaging inquiries, offering guidance on symptoms and preventive measures, and directing users to appropriate health services. This not only enhances public access to critical information but also helps alleviate the workload of healthcare professionals, allowing them to focus on more complex tasks. However, the implementation of AI-based chatbots is not without challenges. Issues such as the accuracy of information, user trust, and ethical considerations regarding data privacy are critical factors that need to be addressed to optimize their effectiveness. Additionally, the adaptability of these chatbots to rapidly evolving health scenarios is essential for their sustained relevance. Despite these challenges, the potential of AI-driven chatbots to transform public health communication during emergencies is significant. This review highlights the importance of continuous development and the integration of AI chatbots into public health strategies to enhance preparedness and response efforts during infectious disease outbreaks. Their role in providing accessible, accurate, and timely information makes them indispensable tools in modern public health emergency management. Full article

Highly Urbanized Cities (HUCs) in the Philippines were at the forefront of public health surveillance and response during the COVID-19 pandemic. With the rapid spread of COVID-19 to Philippine cities, local government units continuously assessed, adapted, and implemented public health interventions (PHIs) and depended on available open-source government data (OSGD). This study consolidated PHIs in selected HUCs in the Philippines using high-quality OSGD to create a timeline of interventions and document good practices in local COVID-19 control. OSGD resources were collected from February 2020 to January 2023, and the data quality of OSGD was evaluated using the Journal of the American Medical Association (JAMA) benchmarks. A total of 180 metadata sources that met at least two core standards (Authorship and Currency) were included in the analysis. COVID-19 control strategies were analyzed vis-à-vis the rise of COVID-19 cases and types of PHIs, including the control of imported cases, case management, contact management, behavioral modification, and pharmaceutical intervention. Travel bans and hard lockdowns in Luzon early in the pandemic delayed the introduction of COVID-19 to other parts of the country. Good practices of LGUs for local COVID-19 control, such as quarantine passes, curfews and liquor bans, using QR-based contact tracing, massive community testing in high-risk communities, and free public swabbing centers, were implemented to slow down the local spread of COVID-19. With the evolving scenarios in city-level COVID-19 epidemics, local risk assessments based on available OSGD drove the adoption of relevant and innovative control strategies in HUCs in the Philippines. Lessons learned must be integrated into epidemic preparedness and response programs against future emerging or re-emerging infectious diseases. Full article